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Coherence-nonnegative matrix factorization based multichannel myoelectricity coupling characteristic analysis method

A technology of non-negative matrix decomposition and characteristic analysis, which is applied in the research field of nervous system movement control mechanism, can solve the problems of inability to reflect the functional connection strength between muscles, the inability to extract the characteristic information of EMG signals, and the inability to fully reflect the coupling relationship of muscle functions, etc.

Inactive Publication Date: 2017-12-01
YANSHAN UNIV
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Problems solved by technology

However, the traditional intermuscular coherence analysis method can only reflect the coherence in the frequency domain, and cannot extract the characteristic information of EMG signals at different time-frequency scales, and cannot reflect the functional connection strength between muscles in each frequency band.
In addition, in the process of limb movement, multiple muscles move at the same time, resulting in a single or two-channel EMG signal that cannot fully reflect the functional coupling relationship between muscles during limb movement

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  • Coherence-nonnegative matrix factorization based multichannel myoelectricity coupling characteristic analysis method
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[0037] The present invention will be further described below in conjunction with accompanying drawing:

[0038] The EMG signal of the human body changes with the movement state of the limbs, and multiple muscles are involved in each movement at the same time. Therefore, it is particularly important to analyze the coupling characteristics of multi-channel EMG signals for the study of the motor control mechanism of the central nervous system. The present invention combines the traditional coherent analysis method with non-negative matrix decomposition, such as figure 1 As shown, it specifically includes synchronous acquisition of multi-channel EMG signals, pre-processing of EMG signals, calculation of coherence of multi-channel EMG signals, non-negative matrix decomposition, analysis of inter-muscular coupling characteristics of each frequency band, and evaluation of functional coupling characteristics. The specific method includes the electromyographic signal acquisition part ...

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Abstract

The invention discloses a coherence-nonnegative matrix factorization based multichannel myoelectricity coupling characteristic analysis method. The method comprises the steps that traditional coherence analysis is combined with nonnegative matrix factorization, multichannel electromyographic signals are collected synchronously and preprocessed, multichannel electromyographic signal coherence is calculated, and finally the function connection strength among all frequency band muscles is obtained through nonnegative matrix factorization. Accordingly, the multichannel myoelectricity coupling characteristics and the function connection strength among all the frequency band muscles are analyzed quantificationally, an effective observation method is provided for deep exploring a central nervous system motion control mechanism, and the important application value is achieved in the field of rehabilitation medicine.

Description

technical field [0001] The invention relates to the research field of nervous system motion control mechanism, in particular to a multi-channel myoelectric coupling characteristic analysis method based on coherence-nonnegative matrix decomposition. Background technique [0002] Intermuscular coupling is the interrelationship and mutual coordination between different muscles during the movement of the limbs. By studying the coupling characteristics of each characteristic frequency band between multi-channel surface electromyography (sEMG), the functional connection between multi-channel muscles and the mechanism of execution and coordination of limb movements controlled by the central nervous system can be obtained. In recent years, based on the traditional coherence analysis method, research on the coupling characteristics between muscles in the process of limb movement has been carried out one after another. Some scholars use the consistency analysis method to calculate th...

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Application Information

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IPC IPC(8): A61B5/0488
CPCA61B5/72A61B5/389
Inventor 杜义浩杨文娟齐文靖王浩胡桂婷王磊磊谢平
Owner YANSHAN UNIV
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